Overview

Brought to you by YData

Dataset statistics

Number of variables	56
Number of observations	929
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	368.5 KiB
Average record size in memory	406.1 B

Variable types

Categorical	41
Numeric	9
Boolean	6

Alerts

`Bathroom_0` is highly overall correlated with `Bathroom_above 2` and 2 other fields	High correlation
`Bathroom_1` is highly overall correlated with `UnitNumber` and 1 other fields	High correlation
`Bathroom_2` is highly overall correlated with `has_security_features` and 1 other fields	High correlation
`Bathroom_above 2` is highly overall correlated with `Bathroom_0` and 1 other fields	High correlation
`Bedroom_0` is highly overall correlated with `Is Price/Sqm outlier` and 11 other fields	High correlation
`Bedroom_1` is highly overall correlated with `has_modern` and 3 other fields	High correlation
`Bedroom_2` is highly overall correlated with `log(sqm)`	High correlation
`Bedroom_3` is highly overall correlated with `name`	High correlation
`BuildingNumber` is highly overall correlated with `Is BuildingNumber outlier` and 2 other fields	High correlation
`FloorNumber` is highly overall correlated with `HighFloor` and 3 other fields	High correlation
`HighFloor` is highly overall correlated with `FloorNumber` and 4 other fields	High correlation
`Is BuildingNumber outlier` is highly overall correlated with `BuildingNumber` and 2 other fields	High correlation
`Is FloorNumber outlier` is highly overall correlated with `FloorNumber` and 4 other fields	High correlation
`Is Price(EGP) outlier` is highly overall correlated with `Is Price/Sqm outlier` and 5 other fields	High correlation
`Is Price/Sqm outlier` is highly overall correlated with `Bedroom_0` and 10 other fields	High correlation
`Is UnitNumber outlier` is highly overall correlated with `BuildingNumber` and 3 other fields	High correlation
`Is sqm outlier` is highly overall correlated with `city_Mansoura` and 4 other fields	High correlation
`LowFloor` is highly overall correlated with `FloorNumber` and 1 other fields	High correlation
`MidFloor` is highly overall correlated with `FloorNumber` and 1 other fields	High correlation
`Price(EGP)` is highly overall correlated with `Is Price(EGP) outlier` and 10 other fields	High correlation
`Price/Sqm` is highly overall correlated with `Bedroom_0` and 16 other fields	High correlation
`UnitNumber` is highly overall correlated with `Bathroom_1` and 1 other fields	High correlation
`city_Cairo` is highly overall correlated with `Bedroom_0` and 7 other fields	High correlation
`city_Mansoura` is highly overall correlated with `Is sqm outlier` and 6 other fields	High correlation
`city_Mersa Matruh` is highly overall correlated with `name`	High correlation
`city_New Administrative Capital` is highly overall correlated with `BuildingNumber` and 2 other fields	High correlation
`city_New Cairo` is highly overall correlated with `Price(EGP)` and 7 other fields	High correlation
`city_North Coast` is highly overall correlated with `governorate_Alexandria` and 5 other fields	High correlation
`city_Old Cairo` is highly overall correlated with `log(price)` and 1 other fields	High correlation
`governorate_Alexandria` is highly overall correlated with `city_North Coast` and 1 other fields	High correlation
`governorate_Cairo` is highly overall correlated with `Bedroom_0` and 4 other fields	High correlation
`governorate_Dakahlia` is highly overall correlated with `Is sqm outlier` and 6 other fields	High correlation
`governorate_Matrouh` is highly overall correlated with `Bathroom_0` and 4 other fields	High correlation
`has_building_facilities` is highly overall correlated with `name` and 1 other fields	High correlation
`has_facilities` is highly overall correlated with `name`	High correlation
`has_green_view` is highly overall correlated with `name`	High correlation
`has_main_facilities` is highly overall correlated with `log(price/sqm)` and 1 other fields	High correlation
`has_modern` is highly overall correlated with `Bedroom_1` and 1 other fields	High correlation
`has_other_features` is highly overall correlated with `city_North Coast` and 1 other fields	High correlation
`has_parking_safety` is highly overall correlated with `Price/Sqm` and 3 other fields	High correlation
`has_security_features` is highly overall correlated with `Bathroom_2` and 2 other fields	High correlation
`has_water_feature` is highly overall correlated with `governorate_Matrouh` and 2 other fields	High correlation
`log(price)` is highly overall correlated with `Bedroom_0` and 14 other fields	High correlation
`log(price/sqm)` is highly overall correlated with `Bedroom_0` and 17 other fields	High correlation
`log(sqm)` is highly overall correlated with `Bedroom_1` and 15 other fields	High correlation
`name` is highly overall correlated with `Bathroom_0` and 45 other fields	High correlation
`propertyCategory_Commercial` is highly overall correlated with `Bedroom_0` and 12 other fields	High correlation
`propertyCategory_Residential` is highly overall correlated with `Bedroom_0` and 12 other fields	High correlation
`propertySubType_Apartment (Residential - Multi-Story Units)` is highly overall correlated with `Bedroom_0` and 9 other fields	High correlation
`propertySubType_Office` is highly overall correlated with `Bedroom_0` and 9 other fields	High correlation
`propertySubType_Others(very rare)` is highly overall correlated with `log(sqm)` and 1 other fields	High correlation
`propertySubType_Residential - Attached Houses` is highly overall correlated with `city_Mansoura` and 5 other fields	High correlation
`propertySubType_Retail` is highly overall correlated with `Bedroom_0` and 6 other fields	High correlation
`sqm` is highly overall correlated with `Bedroom_1` and 9 other fields	High correlation
`year_built` is highly overall correlated with `city_Cairo` and 6 other fields	High correlation
`has_security_features` is highly imbalanced (59.5%)	Imbalance
`HighFloor` is highly imbalanced (57.7%)	Imbalance
`Bedroom_1` is highly imbalanced (55.5%)	Imbalance
`Bathroom_1` is highly imbalanced (58.0%)	Imbalance
`Bathroom_2` is highly imbalanced (68.4%)	Imbalance
`city_Cairo` is highly imbalanced (65.0%)	Imbalance
`city_Mansoura` is highly imbalanced (65.5%)	Imbalance
`city_New Cairo` is highly imbalanced (60.7%)	Imbalance
`city_Old Cairo` is highly imbalanced (84.4%)	Imbalance
`governorate_Dakahlia` is highly imbalanced (65.5%)	Imbalance
`propertySubType_Office` is highly imbalanced (57.3%)	Imbalance
`propertySubType_Others(very rare)` is highly imbalanced (88.7%)	Imbalance
`propertySubType_Residential - Attached Houses` is highly imbalanced (65.5%)	Imbalance
`propertySubType_Retail` is highly imbalanced (63.0%)	Imbalance
`Is sqm outlier` is highly imbalanced (60.3%)	Imbalance
`Is FloorNumber outlier` is highly imbalanced (70.7%)	Imbalance
`FloorNumber` has 193 (20.8%) zeros	Zeros

Reproduction

Analysis started	2025-10-17 14:57:41.741206
Analysis finished	2025-10-17 14:58:05.384652
Duration	23.64 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

name
Categorical

High correlation

Distinct	29
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

Alamain (Latin District)	204
Latin City	144
Mazarine Apartment	106
Zahya	60
Central	52
Other values (24)	363

Length

Max length	38
Median length	33
Mean length	14.883746
Min length	4

Characters and Unicode

Total characters	13,827
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.6%

Sample

1st row	Alamain (Latin District)
2nd row	Beachfront Tower - B1
3rd row	PODIA
4th row	Mazarine Apartment
5th row	Alamain (Latin District)

Common Values

Value	Count	Frequency (%)
Alamain (Latin District)	204	22.0%
Latin City	144	15.5%
Mazarine Apartment	106	11.4%
Zahya	60	6.5%
Central	52	5.6%
New Garden City	52	5.6%
PODIA	43	4.6%
Jade Park	35	3.8%
Beachfront Tower - B1	35	3.8%
Downtown Extension	29	3.1%
Other values (19)	169	18.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
latin	348	17.0%
alamain	204	10.0%
district	204	10.0%
city	196	9.6%
mazarine	119	5.8%
apartment	106	5.2%
zahya	60	2.9%
park	57	2.8%
central	52	2.5%
garden	52	2.5%
Other values (37)	651	31.8%

Most occurring characters

Value	Count	Frequency (%)
a	1610	11.6%
t	1396	10.1%
i	1395	10.1%
n	1125	8.1%
	1121	8.1%
r	734	5.3%
e	730	5.3%
A	432	3.1%
s	404	2.9%
m	388	2.8%
Other values (43)	4492	32.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13827	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1610	11.6%
t	1396	10.1%
i	1395	10.1%
n	1125	8.1%
	1121	8.1%
r	734	5.3%
e	730	5.3%
A	432	3.1%
s	404	2.9%
m	388	2.8%
Other values (43)	4492	32.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13827	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1610	11.6%
t	1396	10.1%
i	1395	10.1%
n	1125	8.1%
	1121	8.1%
r	734	5.3%
e	730	5.3%
A	432	3.1%
s	404	2.9%
m	388	2.8%
Other values (43)	4492	32.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13827	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1610	11.6%
t	1396	10.1%
i	1395	10.1%
n	1125	8.1%
	1121	8.1%
r	734	5.3%
e	730	5.3%
A	432	3.1%
s	404	2.9%
m	388	2.8%
Other values (43)	4492	32.5%

sqm
Real number (ℝ)

High correlation

Distinct	391
Distinct (%)	42.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	211.6346

Minimum	15
Maximum	990
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	15
5-th percentile	88.094
Q1	141
median	205
Q3	240
95-th percentile	398
Maximum	990
Range	975
Interquartile range (IQR)	99

Descriptive statistics

Standard deviation	111.86272
Coefficient of variation (CV)	0.52856539
Kurtosis	9.3942664
Mean	211.6346
Median Absolute Deviation (MAD)	47
Skewness	2.2921712
Sum	196608.54
Variance	12513.269
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
92.86	52	5.6%
252	31	3.3%
207	27	2.9%
231	21	2.3%
398	14	1.5%
134	13	1.4%
176.52	13	1.4%
410	12	1.3%
176	11	1.2%
130	11	1.2%
Other values (381)	724	77.9%

Value	Count	Frequency (%)
15	1	0.1%
22.5	1	0.1%
27	1	0.1%
34	1	0.1%
36	1	0.1%
37	1	0.1%
39	2	0.2%
42	1	0.1%
44.5	1	0.1%
45	3	0.3%

Value	Count	Frequency (%)
990	1	0.1%
891	1	0.1%
860	1	0.1%
850	1	0.1%
773.7	1	0.1%
740	4	0.4%
724	1	0.1%
692	1	0.1%
682	1	0.1%
610.9	1	0.1%

year_built
Categorical

High correlation

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

2025	664
2022	184
2024	65
2023	16

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	3,716
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2025
2nd row	2025
3rd row	2025
4th row	2025
5th row	2025

Common Values

Value	Count	Frequency (%)
2025	664	71.5%
2022	184	19.8%
2024	65	7.0%
2023	16	1.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2025	664	71.5%
2022	184	19.8%
2024	65	7.0%
2023	16	1.7%

Most occurring characters

Value	Count	Frequency (%)
2	2042	55.0%
0	929	25.0%
5	664	17.9%
4	65	1.7%
3	16	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3716	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	2042	55.0%
0	929	25.0%
5	664	17.9%
4	65	1.7%
3	16	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3716	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	2042	55.0%
0	929	25.0%
5	664	17.9%
4	65	1.7%
3	16	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3716	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	2042	55.0%
0	929	25.0%
5	664	17.9%
4	65	1.7%
3	16	0.4%

Price(EGP)
Real number (ℝ)

High correlation

Distinct	795
Distinct (%)	85.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13136736

Minimum	1208000
Maximum	1.21123 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	1208000
5-th percentile	3010047.6
Q1	6812000
median	9814000
Q3	13399000
95-th percentile	38590600
Maximum	1.21123 × 10⁸
Range	1.19915 × 10⁸
Interquartile range (IQR)	6587000

Descriptive statistics

Standard deviation	11962736
Coefficient of variation (CV)	0.91063231
Kurtosis	12.425376
Mean	13136736
Median Absolute Deviation (MAD)	3255000
Skewness	2.9439601
Sum	1.2204027 × 10¹⁰
Variance	1.4310705 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2945154	9	1.0%
7797000	6	0.6%
11395000	4	0.4%
4900000	4	0.4%
7536000	4	0.4%
2718604	4	0.4%
2668259	4	0.4%
6505000	3	0.3%
4023000	3	0.3%
6118000	3	0.3%
Other values (785)	885	95.3%

Value	Count	Frequency (%)
1208000	1	0.1%
1603000	1	0.1%
1649000	1	0.1%
1663000	1	0.1%
1810000	1	0.1%
2073000	1	0.1%
2280000	1	0.1%
2347000	1	0.1%
2350000	1	0.1%
2383000	1	0.1%

Value	Count	Frequency (%)
121123000	1	0.1%
78947000	1	0.1%
66602000	1	0.1%
66477000	1	0.1%
66228000	2	0.2%
66104000	1	0.1%
65606000	1	0.1%
65357000	2	0.2%
65232000	1	0.1%
56725000	1	0.1%

Price/Sqm
Real number (ℝ)

High correlation

Distinct	818
Distinct (%)	88.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69685.497

Minimum	14620.32
Maximum	518794.87
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	14620.32
5-th percentile	24014.791
Q1	32634.615
median	48369.942
Q3	64921.951
95-th percentile	208840.22
Maximum	518794.87
Range	504174.55
Interquartile range (IQR)	32287.336

Descriptive statistics

Standard deviation	64312.998
Coefficient of variation (CV)	0.92290362
Kurtosis	7.3722254
Mean	69685.497
Median Absolute Deviation (MAD)	15746.511
Skewness	2.5361859
Sum	64737827
Variance	4.1361617 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22655.0308	9	1.0%
32623.431	6	0.6%
102700	4	0.4%
22655.0333	4	0.4%
32623.3766	4	0.4%
31612.9032	4	0.4%
24084.6251	3	0.3%
24086.6148	3	0.3%
42957.4468	3	0.3%
32288.0069	3	0.3%
Other values (808)	886	95.4%

Value	Count	Frequency (%)
14620.3202	1	0.1%
15025.2982	1	0.1%
19491.7079	1	0.1%
20198.4127	1	0.1%
20525.0692	1	0.1%
21221.1647	1	0.1%
21601.1905	1	0.1%
21815.9583	2	0.2%
22235.4909	1	0.1%
22235.4917	3	0.3%

Value	Count	Frequency (%)
518794.8718	1	0.1%
386729.1685	1	0.1%
378444.4444	1	0.1%
370486.9565	1	0.1%
343147.1698	1	0.1%
333745.7627	1	0.1%
331674.67	1	0.1%
331044.7761	1	0.1%
329080.5687	1	0.1%
327767.4783	1	0.1%

has_main_facilities
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

1	706
0	223

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	706	76.0%
0	223	24.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	706	76.0%
0	223	24.0%

Most occurring characters

Value	Count	Frequency (%)
1	706	76.0%
0	223	24.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	706	76.0%
0	223	24.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	706	76.0%
0	223	24.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	706	76.0%
0	223	24.0%

has_security_features
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

1	854
0	75

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	854	91.9%
0	75	8.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	854	91.9%
0	75	8.1%

Most occurring characters

Value	Count	Frequency (%)
1	854	91.9%
0	75	8.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	854	91.9%
0	75	8.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	854	91.9%
0	75	8.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	854	91.9%
0	75	8.1%

has_parking_safety
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	823
1	106

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	823	88.6%
1	106	11.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	823	88.6%
1	106	11.4%

Most occurring characters

Value	Count	Frequency (%)
0	823	88.6%
1	106	11.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	823	88.6%
1	106	11.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	823	88.6%
1	106	11.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	823	88.6%
1	106	11.4%

has_building_facilities
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	583
1	346

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	583	62.8%
1	346	37.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	583	62.8%
1	346	37.2%

Most occurring characters

Value	Count	Frequency (%)
0	583	62.8%
1	346	37.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	583	62.8%
1	346	37.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	583	62.8%
1	346	37.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	583	62.8%
1	346	37.2%

has_other_features
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

1	631
0	298

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	631	67.9%
0	298	32.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	631	67.9%
0	298	32.1%

Most occurring characters

Value	Count	Frequency (%)
1	631	67.9%
0	298	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	631	67.9%
0	298	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	631	67.9%
0	298	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	631	67.9%
0	298	32.1%

HighFloor
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	849
1	80

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	849	91.4%
1	80	8.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	849	91.4%
1	80	8.6%

Most occurring characters

Value	Count	Frequency (%)
0	849	91.4%
1	80	8.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	849	91.4%
1	80	8.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	849	91.4%
1	80	8.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	849	91.4%
1	80	8.6%

LowFloor
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	513
1	416

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	513	55.2%
1	416	44.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	513	55.2%
1	416	44.8%

Most occurring characters

Value	Count	Frequency (%)
0	513	55.2%
1	416	44.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	513	55.2%
1	416	44.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	513	55.2%
1	416	44.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	513	55.2%
1	416	44.8%

MidFloor
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	496
1	433

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	496	53.4%
1	433	46.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	496	53.4%
1	433	46.6%

Most occurring characters

Value	Count	Frequency (%)
0	496	53.4%
1	433	46.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	496	53.4%
1	433	46.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	496	53.4%
1	433	46.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	496	53.4%
1	433	46.6%

FloorNumber
Real number (ℝ)

High correlation Zeros

Distinct	28
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.1054898

Minimum	0
Maximum	37
Zeros	193
Zeros (%)	20.8%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	12
Maximum	37
Range	37
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	5.4987912
Coefficient of variation (CV)	1.3393752
Kurtosis	18.055289
Mean	4.1054898
Median Absolute Deviation (MAD)	2
Skewness	3.7588022
Sum	3814
Variance	30.236705
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	193	20.8%
1	114	12.3%
2	109	11.7%
5	108	11.6%
3	93	10.0%
4	92	9.9%
6	74	8.0%
7	66	7.1%
8	13	1.4%
37	12	1.3%
Other values (18)	55	5.9%

Value	Count	Frequency (%)
0	193	20.8%
1	114	12.3%
2	109	11.7%
3	93	10.0%
4	92	9.9%
5	108	11.6%
6	74	8.0%
7	66	7.1%
8	13	1.4%
9	8	0.9%

Value	Count	Frequency (%)
37	12	1.3%
36	1	0.1%
33	1	0.1%
28	1	0.1%
26	1	0.1%
25	1	0.1%
24	2	0.2%
23	1	0.1%
21	2	0.2%
20	4	0.4%

BuildingNumber
Real number (ℝ)

High correlation

Distinct	79
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.395048

Minimum	1
Maximum	883
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	17
95-th percentile	645
Maximum	883
Range	882
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	181.15279
Coefficient of variation (CV)	2.6104569
Kurtosis	8.3061856
Mean	69.395048
Median Absolute Deviation (MAD)	4
Skewness	3.0571592
Sum	64468
Variance	32816.332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	135	14.5%
3	110	11.8%
7	97	10.4%
1	79	8.5%
4	45	4.8%
2	36	3.9%
12	34	3.7%
13	33	3.6%
10	28	3.0%
722	24	2.6%
Other values (69)	308	33.2%

Value	Count	Frequency (%)
1	79	8.5%
2	36	3.9%
3	110	11.8%
4	45	4.8%
5	18	1.9%
6	135	14.5%
7	97	10.4%
8	15	1.6%
9	11	1.2%
10	28	3.0%

Value	Count	Frequency (%)
883	10	1.1%
722	24	2.6%
645	18	1.9%
425	2	0.2%
424	1	0.1%
423	4	0.4%
422	5	0.5%
420	1	0.1%
418	1	0.1%
417	4	0.4%

UnitNumber
Real number (ℝ)

High correlation

Distinct	461
Distinct (%)	49.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62299.854

Minimum	1
Maximum	722712
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	64
Q3	1405
95-th percentile	616162.6
Maximum	722712
Range	722711
Interquartile range (IQR)	1400

Descriptive statistics

Standard deviation	166005.99
Coefficient of variation (CV)	2.6646289
Kurtosis	6.2465783
Mean	62299.854
Median Absolute Deviation (MAD)	62
Skewness	2.7347675
Sum	57876564
Variance	2.7557989 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	108	11.6%
3	106	11.4%
2	66	7.1%
1	23	2.5%
7	16	1.7%
4	14	1.5%
6	12	1.3%
9	10	1.1%
12	10	1.1%
10	10	1.1%
Other values (451)	554	59.6%

Value	Count	Frequency (%)
1	23	2.5%
2	66	7.1%
3	106	11.4%
4	14	1.5%
5	108	11.6%
6	12	1.3%
7	16	1.7%
8	5	0.5%
9	10	1.1%
10	10	1.1%

Value	Count	Frequency (%)
722712	1	0.1%
722612	1	0.1%
722411	1	0.1%
722311	1	0.1%
665304	1	0.1%
665204	1	0.1%
661702	1	0.1%
661306	1	0.1%
661206	1	0.1%
660704	1	0.1%

has_modern
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	739
1	190

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	739	79.5%
1	190	20.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	739	79.5%
1	190	20.5%

Most occurring characters

Value	Count	Frequency (%)
0	739	79.5%
1	190	20.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	739	79.5%
1	190	20.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	739	79.5%
1	190	20.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	739	79.5%
1	190	20.5%

has_facilities
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

1	494
0	435

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	494	53.2%
0	435	46.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	494	53.2%
0	435	46.8%

Most occurring characters

Value	Count	Frequency (%)
1	494	53.2%
0	435	46.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	494	53.2%
0	435	46.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	494	53.2%
0	435	46.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	494	53.2%
0	435	46.8%

has_green_view
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	522
1	407

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	522	56.2%
1	407	43.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	522	56.2%
1	407	43.8%

Most occurring characters

Value	Count	Frequency (%)
0	522	56.2%
1	407	43.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	522	56.2%
1	407	43.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	522	56.2%
1	407	43.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	522	56.2%
1	407	43.8%

has_water_feature
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	539
1	390

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	539	58.0%
1	390	42.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	539	58.0%
1	390	42.0%

Most occurring characters

Value	Count	Frequency (%)
0	539	58.0%
1	390	42.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	539	58.0%
1	390	42.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	539	58.0%
1	390	42.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	539	58.0%
1	390	42.0%

Bedroom_0
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	747
1	182

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	747	80.4%
1	182	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	747	80.4%
1	182	19.6%

Most occurring characters

Value	Count	Frequency (%)
0	747	80.4%
1	182	19.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	747	80.4%
1	182	19.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	747	80.4%
1	182	19.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	747	80.4%
1	182	19.6%

Bedroom_1
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	843
1	86

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	843	90.7%
1	86	9.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	843	90.7%
1	86	9.3%

Most occurring characters

Value	Count	Frequency (%)
0	843	90.7%
1	86	9.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	843	90.7%
1	86	9.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	843	90.7%
1	86	9.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	843	90.7%
1	86	9.3%

Bedroom_2
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	794
1	135

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	794	85.5%
1	135	14.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	794	85.5%
1	135	14.5%

Most occurring characters

Value	Count	Frequency (%)
0	794	85.5%
1	135	14.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	794	85.5%
1	135	14.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	794	85.5%
1	135	14.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	794	85.5%
1	135	14.5%

Bedroom_3
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	536
1	393

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	536	57.7%
1	393	42.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	536	57.7%
1	393	42.3%

Most occurring characters

Value	Count	Frequency (%)
0	536	57.7%
1	393	42.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	536	57.7%
1	393	42.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	536	57.7%
1	393	42.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	536	57.7%
1	393	42.3%

Bedroom_above 3
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	796
1	133

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	796	85.7%
1	133	14.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	796	85.7%
1	133	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	796	85.7%
1	133	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	796	85.7%
1	133	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	796	85.7%
1	133	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	796	85.7%
1	133	14.3%

Bathroom_0
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

1	613
0	316

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	613	66.0%
0	316	34.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	613	66.0%
0	316	34.0%

Most occurring characters

Value	Count	Frequency (%)
1	613	66.0%
0	316	34.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	613	66.0%
0	316	34.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	613	66.0%
0	316	34.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	613	66.0%
0	316	34.0%

Bathroom_1
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	850
1	79

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	850	91.5%
1	79	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	850	91.5%
1	79	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	850	91.5%
1	79	8.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	850	91.5%
1	79	8.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	850	91.5%
1	79	8.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	850	91.5%
1	79	8.5%

Bathroom_2
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	876
1	53

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	876	94.3%
1	53	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	876	94.3%
1	53	5.7%

Most occurring characters

Value	Count	Frequency (%)
0	876	94.3%
1	53	5.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	876	94.3%
1	53	5.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	876	94.3%
1	53	5.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	876	94.3%
1	53	5.7%

Bathroom_above 2
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	745
1	184

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	745	80.2%
1	184	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	745	80.2%
1	184	19.8%

Most occurring characters

Value	Count	Frequency (%)
0	745	80.2%
1	184	19.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	745	80.2%
1	184	19.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	745	80.2%
1	184	19.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	745	80.2%
1	184	19.8%

city_Cairo
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	868
1	61

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	868	93.4%
1	61	6.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	868	93.4%
1	61	6.6%

Most occurring characters

Value	Count	Frequency (%)
0	868	93.4%
1	61	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	868	93.4%
1	61	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	868	93.4%
1	61	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	868	93.4%
1	61	6.6%

city_Mansoura
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	869
1	60

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

city_Mersa Matruh
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	812
1	117

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	812	87.4%
1	117	12.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	812	87.4%
1	117	12.6%

Most occurring characters

Value	Count	Frequency (%)
0	812	87.4%
1	117	12.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	812	87.4%
1	117	12.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	812	87.4%
1	117	12.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	812	87.4%
1	117	12.6%

city_New Administrative Capital
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	791
1	138

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	791	85.1%
1	138	14.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	791	85.1%
1	138	14.9%

Most occurring characters

Value	Count	Frequency (%)
0	791	85.1%
1	138	14.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	791	85.1%
1	138	14.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	791	85.1%
1	138	14.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	791	85.1%
1	138	14.9%

city_New Cairo
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	857
1	72

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	857	92.2%
1	72	7.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	857	92.2%
1	72	7.8%

Most occurring characters

Value	Count	Frequency (%)
0	857	92.2%
1	72	7.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	857	92.2%
1	72	7.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	857	92.2%
1	72	7.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	857	92.2%
1	72	7.8%

city_North Coast
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	469
1	460

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	469	50.5%
1	460	49.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	469	50.5%
1	460	49.5%

Most occurring characters

Value	Count	Frequency (%)
0	469	50.5%
1	460	49.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	469	50.5%
1	460	49.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	469	50.5%
1	460	49.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	469	50.5%
1	460	49.5%

city_Old Cairo
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	908
1	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	908	97.7%
1	21	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	908	97.7%
1	21	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	908	97.7%
1	21	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	908	97.7%
1	21	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	908	97.7%
1	21	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	908	97.7%
1	21	2.3%

governorate_Alexandria
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	731
1	198

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	731	78.7%
1	198	21.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	731	78.7%
1	198	21.3%

Most occurring characters

Value	Count	Frequency (%)
0	731	78.7%
1	198	21.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	731	78.7%
1	198	21.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	731	78.7%
1	198	21.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	731	78.7%
1	198	21.3%

governorate_Cairo
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	637
1	292

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	637	68.6%
1	292	31.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	637	68.6%
1	292	31.4%

Most occurring characters

Value	Count	Frequency (%)
0	637	68.6%
1	292	31.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	637	68.6%
1	292	31.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	637	68.6%
1	292	31.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	637	68.6%
1	292	31.4%

governorate_Dakahlia
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	869
1	60

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

governorate_Matrouh
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	550
1	379

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	550	59.2%
1	379	40.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	550	59.2%
1	379	40.8%

Most occurring characters

Value	Count	Frequency (%)
0	550	59.2%
1	379	40.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	550	59.2%
1	379	40.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	550	59.2%
1	379	40.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	550	59.2%
1	379	40.8%

propertyCategory_Commercial
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	780
1	149

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	780	84.0%
1	149	16.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	780	84.0%
1	149	16.0%

Most occurring characters

Value	Count	Frequency (%)
0	780	84.0%
1	149	16.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	780	84.0%
1	149	16.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	780	84.0%
1	149	16.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	780	84.0%
1	149	16.0%

propertyCategory_Residential
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

1	780
0	149

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	780	84.0%
0	149	16.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	780	84.0%
0	149	16.0%

Most occurring characters

Value	Count	Frequency (%)
1	780	84.0%
0	149	16.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	780	84.0%
0	149	16.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	780	84.0%
0	149	16.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	780	84.0%
0	149	16.0%

propertySubType_Apartment (Residential - Multi-Story Units)
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

1	708
0	221

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	708	76.2%
0	221	23.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	708	76.2%
0	221	23.8%

Most occurring characters

Value	Count	Frequency (%)
1	708	76.2%
0	221	23.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	708	76.2%
0	221	23.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	708	76.2%
0	221	23.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	708	76.2%
0	221	23.8%

propertySubType_Office
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	848
1	81

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	848	91.3%
1	81	8.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	848	91.3%
1	81	8.7%

Most occurring characters

Value	Count	Frequency (%)
0	848	91.3%
1	81	8.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	848	91.3%
1	81	8.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	848	91.3%
1	81	8.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	848	91.3%
1	81	8.7%

propertySubType_Others(very rare)
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	915
1	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	915	98.5%
1	14	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	915	98.5%
1	14	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	915	98.5%
1	14	1.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	915	98.5%
1	14	1.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	915	98.5%
1	14	1.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	915	98.5%
1	14	1.5%

propertySubType_Residential - Attached Houses
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	869
1	60

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	869	93.5%
1	60	6.5%

propertySubType_Retail
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	863
1	66

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	929
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	863	92.9%
1	66	7.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	863	92.9%
1	66	7.1%

Most occurring characters

Value	Count	Frequency (%)
0	863	92.9%
1	66	7.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	92.9%
1	66	7.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	92.9%
1	66	7.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	929	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	92.9%
1	66	7.1%

Is sqm outlier
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

False	856
True	73

Value	Count	Frequency (%)
False	856	92.1%
True	73	7.9%

Is Price/Sqm outlier
Boolean

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

False	781
True	148

Value	Count	Frequency (%)
False	781	84.1%
True	148	15.9%

Is Price(EGP) outlier
Boolean

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

False	812
True	117

Value	Count	Frequency (%)
False	812	87.4%
True	117	12.6%

Is BuildingNumber outlier
Boolean

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

False	794
True	135

Value	Count	Frequency (%)
False	794	85.5%
True	135	14.5%

Is FloorNumber outlier
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

False	881
True	48

Value	Count	Frequency (%)
False	881	94.8%
True	48	5.2%

Is UnitNumber outlier
Boolean

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

False	752
True	177

Value	Count	Frequency (%)
False	752	80.9%
True	177	19.1%

log(sqm)
Real number (ℝ)

High correlation

Distinct	391
Distinct (%)	42.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.2339171

Minimum	2.7080502
Maximum	6.8977049
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	2.7080502
5-th percentile	4.4783692
Q1	4.9487599
median	5.32301
Q3	5.4806389
95-th percentile	5.986452
Maximum	6.8977049
Range	4.1896547
Interquartile range (IQR)	0.53187903

Descriptive statistics

Standard deviation	0.50401899
Coefficient of variation (CV)	0.09629862
Kurtosis	1.9395377
Mean	5.2339171
Median Absolute Deviation (MAD)	0.21102219
Skewness	-0.49296433
Sum	4862.309
Variance	0.25403515
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.531092983	52	5.6%
5.529429088	31	3.3%
5.332718793	27	2.9%
5.442417711	21	2.3%
5.986452005	14	1.5%
4.8978398	13	1.4%
5.173434184	13	1.4%
6.01615716	12	1.3%
5.170483995	11	1.2%
4.86753445	11	1.2%
Other values (381)	724	77.9%

Value	Count	Frequency (%)
2.708050201	1	0.1%
3.113515309	1	0.1%
3.295836866	1	0.1%
3.526360525	1	0.1%
3.583518938	1	0.1%
3.610917913	1	0.1%
3.663561646	2	0.2%
3.737669618	1	0.1%
3.795489189	1	0.1%
3.80666249	3	0.3%

Value	Count	Frequency (%)
6.897704943	1	0.1%
6.792344427	1	0.1%
6.756932389	1	0.1%
6.745236349	1	0.1%
6.651184202	1	0.1%
6.606650186	4	0.4%
6.584791392	1	0.1%
6.539585956	1	0.1%
6.525029658	1	0.1%
6.41493328	1	0.1%

log(price)
Real number (ℝ)

High correlation

Distinct	795
Distinct (%)	85.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.123624

Minimum	14.004477
Maximum	18.612317
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	14.004477
5-th percentile	14.917466
Q1	15.734196
median	16.09932
Q3	16.410691
95-th percentile	17.468519
Maximum	18.612317
Range	4.6078405
Interquartile range (IQR)	0.67649431

Descriptive statistics

Standard deviation	0.69581834
Coefficient of variation (CV)	0.043155206
Kurtosis	0.49376347
Mean	16.123624
Median Absolute Deviation (MAD)	0.33804266
Skewness	0.41208014
Sum	14978.847
Variance	0.48416316
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.89567167	9	1.0%
15.8692496	6	0.6%
16.24868522	4	0.4%
15.40474576	4	0.4%
15.8352021	4	0.4%
14.81562907	4	0.4%
14.79693676	4	0.4%
15.68808167	3	0.3%
15.20753845	3	0.3%
15.6267458	3	0.3%
Other values (785)	885	95.3%

Value	Count	Frequency (%)
14.00447666	1	0.1%
14.28738743	1	0.1%
14.3156796	1	0.1%
14.32413376	1	0.1%
14.4088374	1	0.1%
14.54450739	1	0.1%
14.639686	1	0.1%
14.66864847	1	0.1%
14.66992589	1	0.1%
14.68387076	1	0.1%

Value	Count	Frequency (%)
18.61231712	1	0.1%
18.1842873	1	0.1%
18.01424517	1	0.1%
18.01236658	1	0.1%
18.00861389	2	0.2%
18.00673982	1	0.1%
17.99917771	1	0.1%
17.99537511	2	0.2%
17.9934607	1	0.1%
17.85372559	1	0.1%

log(price/sqm)
Real number (ℝ)

High correlation

Distinct	818
Distinct (%)	88.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.889707

Minimum	9.5901676
Maximum	13.159264
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	9.5901676
5-th percentile	10.086422
Q1	10.393129
median	10.786634
Q3	11.080941
95-th percentile	12.249325
Maximum	13.159264
Range	3.5690962
Interquartile range (IQR)	0.68781225

Descriptive statistics

Standard deviation	0.65680761
Coefficient of variation (CV)	0.060314533
Kurtosis	0.42653332
Mean	10.889707
Median Absolute Deviation (MAD)	0.35095634
Skewness	1.0231145
Sum	10116.538
Variance	0.43139624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.02813722	9	1.0%
10.39278605	6	0.6%
11.5395674	4	0.4%
10.02813733	4	0.4%
10.39278438	4	0.4%
10.36132065	4	0.4%
10.08932895	3	0.3%
10.08941156	3	0.3%
10.6679653	3	0.3%
10.38245114	3	0.3%
Other values (808)	886	95.4%

Value	Count	Frequency (%)
9.590167635	1	0.1%
9.617490606	1	0.1%
9.877744418	1	0.1%
9.913359301	1	0.1%
9.929402306	1	0.1%
9.962754298	1	0.1%
9.980503708	1	0.1%
9.990397013	2	0.2%
10.00944498	1	0.1%
10.00944502	3	0.3%

Value	Count	Frequency (%)
13.15926385	1	0.1%
12.8654799	1	0.1%
12.84382456	1	0.1%
12.82257352	1	0.1%
12.7459147	1	0.1%
12.71813479	1	0.1%
12.71190986	1	0.1%
12.71000892	1	0.1%
12.70405789	1	0.1%
12.70005973	1	0.1%

Interactions

Correlations

	Bathroom_0	Bathroom_1	Bathroom_2	Bathroom_above 2	Bedroom_0	Bedroom_1	Bedroom_2	Bedroom_3	Bedroom_above 3	BuildingNumber	FloorNumber	HighFloor	Is BuildingNumber outlier	Is FloorNumber outlier	Is Price(EGP) outlier	Is Price/Sqm outlier	Is UnitNumber outlier	Is sqm outlier	LowFloor	MidFloor	Price(EGP)	Price/Sqm	UnitNumber	city_Cairo	city_Mansoura	city_Mersa Matruh	city_New Administrative Capital	city_New Cairo	city_North Coast	city_Old Cairo	governorate_Alexandria	governorate_Cairo	governorate_Dakahlia	governorate_Matrouh	has_building_facilities	has_facilities	has_green_view	has_main_facilities	has_modern	has_other_features	has_parking_safety	has_security_features	has_water_feature	log(price)	log(price/sqm)	log(sqm)	name	propertyCategory_Commercial	propertyCategory_Residential	propertySubType_Apartment (Residential - Multi-Story Units)	propertySubType_Office	propertySubType_Others(very rare)	propertySubType_Residential - Attached Houses	propertySubType_Retail	sqm	year_built
Bathroom_0	1.000	0.419	0.336	0.689	0.350	0.215	0.102	0.394	0.076	0.153	0.114	0.049	0.000	0.000	0.000	0.125	0.000	0.000	0.109	0.071	0.204	0.167	0.251	0.174	0.031	0.298	0.034	0.105	0.025	0.096	0.331	0.232	0.031	0.524	0.175	0.154	0.105	0.198	0.258	0.118	0.042	0.315	0.264	0.443	0.364	0.288	0.806	0.303	0.303	0.279	0.207	0.000	0.015	0.191	0.375	0.205
Bathroom_1	0.419	1.000	0.058	0.143	0.142	0.085	0.150	0.089	0.026	0.305	0.000	0.080	0.128	0.053	0.105	0.123	0.298	0.042	0.000	0.076	0.149	0.139	0.566	0.065	0.000	0.093	0.106	0.074	0.263	0.006	0.141	0.191	0.000	0.323	0.139	0.226	0.193	0.238	0.136	0.000	0.098	0.077	0.132	0.412	0.268	0.131	0.631	0.124	0.124	0.135	0.081	0.000	0.000	0.069	0.243	0.263
Bathroom_2	0.336	0.058	1.000	0.112	0.111	0.044	0.000	0.000	0.168	0.000	0.027	0.000	0.060	0.000	0.030	0.095	0.084	0.023	0.022	0.000	0.000	0.107	0.045	0.045	0.070	0.048	0.372	0.000	0.199	0.000	0.082	0.216	0.070	0.168	0.236	0.148	0.163	0.095	0.065	0.282	0.444	0.514	0.183	0.125	0.289	0.202	0.802	0.096	0.096	0.030	0.059	0.000	0.021	0.049	0.319	0.116
Bathroom_above 2	0.689	0.143	0.112	1.000	0.240	0.151	0.016	0.380	0.165	0.149	0.174	0.117	0.063	0.065	0.103	0.000	0.109	0.000	0.080	0.000	0.345	0.114	0.180	0.111	0.074	0.466	0.194	0.035	0.000	0.058	0.233	0.268	0.074	0.496	0.170	0.256	0.368	0.124	0.158	0.000	0.110	0.131	0.328	0.493	0.416	0.301	0.861	0.204	0.204	0.202	0.135	0.000	0.035	0.128	0.388	0.353
Bedroom_0	0.350	0.142	0.111	0.240	1.000	0.149	0.197	0.419	0.195	0.140	0.217	0.189	0.118	0.182	0.371	0.655	0.234	0.114	0.020	0.145	0.498	0.721	0.178	0.520	0.120	0.071	0.177	0.470	0.464	0.297	0.225	0.509	0.120	0.223	0.018	0.073	0.058	0.088	0.000	0.088	0.252	0.075	0.267	0.577	0.771	0.473	0.941	0.874	0.874	0.663	0.611	0.000	0.120	0.554	0.290	0.382
Bedroom_1	0.215	0.085	0.044	0.151	0.149	1.000	0.122	0.268	0.121	0.062	0.083	0.085	0.054	0.057	0.063	0.119	0.098	0.080	0.000	0.078	0.111	0.224	0.101	0.070	0.069	0.099	0.050	0.079	0.167	0.015	0.427	0.051	0.069	0.252	0.232	0.128	0.216	0.172	0.542	0.156	0.091	0.082	0.251	0.435	0.226	0.700	0.564	0.131	0.131	0.117	0.086	0.000	0.000	0.074	0.620	0.194
Bedroom_2	0.102	0.150	0.000	0.016	0.197	0.122	1.000	0.349	0.161	0.357	0.000	0.058	0.222	0.009	0.120	0.155	0.190	0.086	0.027	0.076	0.185	0.189	0.201	0.085	0.041	0.101	0.084	0.085	0.147	0.041	0.000	0.041	0.041	0.097	0.000	0.189	0.021	0.029	0.078	0.000	0.018	0.000	0.051	0.299	0.318	0.537	0.437	0.165	0.165	0.188	0.106	0.000	0.070	0.103	0.429	0.146
Bedroom_3	0.394	0.089	0.000	0.380	0.419	0.268	0.349	1.000	0.346	0.161	0.053	0.000	0.032	0.000	0.093	0.207	0.027	0.164	0.000	0.000	0.200	0.258	0.127	0.220	0.193	0.174	0.000	0.184	0.000	0.118	0.179	0.266	0.193	0.305	0.080	0.054	0.192	0.033	0.251	0.104	0.128	0.080	0.234	0.363	0.299	0.485	0.615	0.370	0.370	0.197	0.259	0.000	0.202	0.230	0.408	0.382
Bedroom_above 3	0.076	0.026	0.168	0.165	0.195	0.121	0.161	0.346	1.000	0.069	0.067	0.056	0.089	0.051	0.079	0.171	0.089	0.061	0.000	0.000	0.119	0.209	0.306	0.097	0.000	0.137	0.037	0.084	0.179	0.040	0.186	0.082	0.000	0.059	0.019	0.094	0.043	0.067	0.000	0.087	0.000	0.069	0.112	0.225	0.360	0.392	0.408	0.171	0.171	0.164	0.116	0.054	0.055	0.102	0.472	0.112
BuildingNumber	0.153	0.305	0.000	0.149	0.140	0.062	0.357	0.161	0.069	1.000	0.009	0.073	0.852	0.000	0.093	0.117	0.514	0.056	0.119	0.141	-0.114	-0.025	0.388	0.035	0.326	0.102	0.581	0.054	0.315	0.000	0.162	0.377	0.326	0.316	0.212	0.342	0.323	0.337	0.139	0.365	0.143	0.000	0.299	-0.114	-0.025	-0.122	0.407	0.117	0.117	0.211	0.066	0.000	0.326	0.058	-0.122	0.109
FloorNumber	0.114	0.000	0.027	0.174	0.217	0.083	0.000	0.053	0.067	0.009	1.000	0.996	0.027	0.996	0.339	0.440	0.077	0.183	0.812	0.814	-0.039	0.156	0.087	0.351	0.218	0.334	0.136	0.239	0.205	0.000	0.154	0.174	0.218	0.153	0.143	0.082	0.238	0.351	0.125	0.120	0.259	0.449	0.105	-0.039	0.156	-0.138	0.346	0.211	0.211	0.265	0.281	0.000	0.218	0.273	-0.138	0.132
HighFloor	0.049	0.080	0.000	0.117	0.189	0.085	0.058	0.000	0.056	0.073	0.996	1.000	0.082	0.751	0.222	0.374	0.110	0.067	0.271	0.281	0.296	0.503	0.084	0.250	0.065	0.199	0.034	0.000	0.182	0.008	0.123	0.088	0.065	0.042	0.083	0.042	0.202	0.307	0.118	0.129	0.219	0.337	0.020	0.318	0.550	0.328	0.620	0.150	0.150	0.069	0.195	0.000	0.065	0.000	0.317	0.128
Is BuildingNumber outlier	0.000	0.128	0.060	0.063	0.118	0.054	0.222	0.032	0.089	0.852	0.027	0.082	1.000	0.083	0.101	0.155	0.519	0.033	0.000	0.049	0.099	0.189	0.478	0.098	0.011	0.139	0.294	0.109	0.031	0.085	0.208	0.128	0.011	0.000	0.000	0.189	0.075	0.048	0.118	0.182	0.000	0.064	0.044	0.171	0.282	0.147	0.663	0.156	0.156	0.115	0.118	0.052	0.000	0.078	0.170	0.078
Is FloorNumber outlier	0.000	0.053	0.000	0.065	0.182	0.057	0.009	0.000	0.051	0.000	0.996	0.751	0.083	1.000	0.224	0.396	0.089	0.000	0.203	0.211	0.277	0.517	0.035	0.141	0.040	0.224	0.085	0.060	0.155	0.000	0.073	0.014	0.040	0.049	0.131	0.000	0.158	0.328	0.069	0.141	0.165	0.295	0.053	0.273	0.518	0.336	0.629	0.112	0.112	0.048	0.104	0.000	0.040	0.022	0.243	0.091
Is Price(EGP) outlier	0.000	0.105	0.030	0.103	0.371	0.063	0.120	0.093	0.079	0.093	0.339	0.222	0.101	0.224	1.000	0.663	0.177	0.169	0.063	0.041	0.950	0.757	0.129	0.000	0.000	0.280	0.074	0.465	0.326	0.033	0.191	0.163	0.000	0.000	0.116	0.253	0.000	0.105	0.120	0.113	0.050	0.333	0.029	0.919	0.762	0.289	0.818	0.385	0.385	0.331	0.416	0.065	0.023	0.085	0.333	0.172
Is Price/Sqm outlier	0.125	0.123	0.095	0.000	0.655	0.119	0.155	0.207	0.171	0.117	0.440	0.374	0.155	0.396	0.663	1.000	0.205	0.027	0.055	0.141	0.728	0.992	0.153	0.472	0.103	0.173	0.149	0.483	0.427	0.046	0.221	0.392	0.103	0.121	0.010	0.100	0.087	0.343	0.163	0.000	0.309	0.241	0.155	0.736	0.963	0.473	0.949	0.703	0.703	0.533	0.558	0.000	0.091	0.365	0.323	0.264
Is UnitNumber outlier	0.000	0.298	0.084	0.109	0.234	0.098	0.190	0.027	0.089	0.514	0.077	0.110	0.519	0.089	0.177	0.205	1.000	0.122	0.035	0.111	0.208	0.258	0.802	0.119	0.117	0.135	0.152	0.132	0.199	0.056	0.247	0.035	0.117	0.318	0.000	0.326	0.038	0.229	0.144	0.036	0.058	0.082	0.232	0.274	0.405	0.237	0.782	0.206	0.206	0.259	0.141	0.000	0.117	0.125	0.216	0.290
Is sqm outlier	0.000	0.042	0.023	0.000	0.114	0.080	0.086	0.164	0.061	0.056	0.183	0.067	0.033	0.000	0.169	0.027	0.122	1.000	0.123	0.170	0.382	0.107	0.080	0.017	0.647	0.040	0.000	0.070	0.275	0.000	0.143	0.075	0.647	0.112	0.173	0.260	0.060	0.000	0.119	0.213	0.051	0.152	0.118	0.406	0.383	0.791	0.735	0.095	0.095	0.272	0.076	0.307	0.468	0.026	0.856	0.488
LowFloor	0.109	0.000	0.022	0.080	0.020	0.000	0.027	0.000	0.000	0.119	0.812	0.271	0.000	0.203	0.063	0.055	0.035	0.123	1.000	0.839	0.192	0.162	0.048	0.031	0.286	0.050	0.094	0.072	0.073	0.000	0.073	0.103	0.286	0.000	0.067	0.039	0.148	0.065	0.000	0.056	0.034	0.156	0.073	0.201	0.243	0.178	0.421	0.068	0.068	0.265	0.117	0.087	0.286	0.250	0.218	0.185
MidFloor	0.071	0.076	0.000	0.000	0.145	0.078	0.076	0.000	0.000	0.141	0.814	0.281	0.049	0.211	0.041	0.141	0.111	0.170	0.839	1.000	0.170	0.219	0.000	0.188	0.239	0.173	0.124	0.055	0.183	0.043	0.150	0.042	0.239	0.048	0.000	0.000	0.009	0.093	0.073	0.000	0.066	0.000	0.045	0.210	0.287	0.267	0.424	0.161	0.161	0.310	0.000	0.063	0.239	0.252	0.229	0.158
Price(EGP)	0.204	0.149	0.000	0.345	0.498	0.111	0.185	0.200	0.119	-0.114	-0.039	0.296	0.099	0.277	0.950	0.728	0.208	0.382	0.192	0.170	1.000	0.675	0.120	0.236	0.000	0.473	0.104	0.540	0.400	0.025	0.284	0.220	0.000	0.186	0.203	0.289	0.176	0.230	0.192	0.170	0.105	0.481	0.150	1.000	0.675	0.510	0.596	0.539	0.539	0.494	0.482	0.159	0.000	0.480	0.510	0.218
Price/Sqm	0.167	0.139	0.107	0.114	0.721	0.224	0.189	0.258	0.209	-0.025	0.156	0.503	0.189	0.517	0.757	0.992	0.258	0.107	0.162	0.219	0.675	1.000	0.207	0.616	0.120	0.354	0.165	0.697	0.425	0.000	0.206	0.429	0.120	0.207	0.295	0.249	0.240	0.458	0.209	0.345	0.523	0.365	0.232	0.675	1.000	-0.170	0.531	0.790	0.790	0.604	0.694	0.000	0.049	0.704	-0.170	0.176
UnitNumber	0.251	0.566	0.045	0.180	0.178	0.101	0.201	0.127	0.306	0.388	0.087	0.084	0.478	0.035	0.129	0.153	0.802	0.080	0.048	0.000	0.120	0.207	1.000	0.073	0.072	0.129	0.270	0.086	0.356	0.000	0.190	0.261	0.072	0.424	0.203	0.357	0.309	0.456	0.194	0.245	0.088	0.068	0.355	0.120	0.207	0.029	0.382	0.154	0.154	0.206	0.096	0.000	0.072	0.079	0.029	0.253
city_Cairo	0.174	0.065	0.045	0.111	0.520	0.070	0.085	0.220	0.097	0.035	0.351	0.250	0.098	0.141	0.000	0.472	0.119	0.017	0.031	0.188	0.236	0.616	0.073	1.000	0.051	0.088	0.099	0.060	0.256	0.000	0.129	0.386	0.051	0.213	0.197	0.126	0.241	0.292	0.055	0.175	0.499	0.063	0.219	0.256	0.623	0.631	0.985	0.600	0.600	0.468	0.356	0.000	0.051	0.425	0.423	0.511
city_Mansoura	0.031	0.000	0.070	0.074	0.120	0.069	0.041	0.193	0.000	0.326	0.218	0.065	0.011	0.040	0.000	0.103	0.117	0.647	0.286	0.239	0.000	0.120	0.072	0.051	1.000	0.087	0.098	0.060	0.254	0.000	0.127	0.170	0.991	0.211	0.335	0.240	0.225	0.139	0.124	0.376	0.081	0.062	0.217	0.237	0.430	0.710	0.985	0.104	0.104	0.464	0.066	0.344	0.795	0.055	0.805	0.648
city_Mersa Matruh	0.298	0.093	0.048	0.466	0.071	0.099	0.101	0.174	0.137	0.102	0.334	0.199	0.139	0.224	0.280	0.173	0.135	0.040	0.050	0.173	0.473	0.354	0.129	0.088	0.087	1.000	0.151	0.099	0.371	0.033	0.191	0.252	0.087	0.453	0.138	0.181	0.202	0.036	0.120	0.036	0.127	0.297	0.217	0.478	0.487	0.313	0.821	0.060	0.060	0.000	0.107	0.007	0.000	0.227	0.361	0.163
city_New Administrative Capital	0.034	0.106	0.372	0.194	0.177	0.050	0.084	0.000	0.037	0.581	0.136	0.034	0.294	0.085	0.074	0.149	0.152	0.000	0.094	0.124	0.104	0.165	0.270	0.099	0.098	0.151	1.000	0.111	0.410	0.042	0.211	0.613	0.098	0.342	0.094	0.135	0.174	0.229	0.098	0.259	0.253	0.258	0.351	0.184	0.401	0.230	0.985	0.159	0.159	0.170	0.119	0.022	0.000	0.080	0.191	0.258
city_New Cairo	0.105	0.074	0.000	0.035	0.470	0.079	0.085	0.184	0.084	0.054	0.239	0.000	0.109	0.060	0.465	0.483	0.132	0.070	0.072	0.055	0.540	0.697	0.086	0.060	0.060	0.099	0.111	1.000	0.281	0.000	0.142	0.423	0.060	0.234	0.203	0.160	0.143	0.000	0.000	0.243	0.000	0.071	0.240	0.575	0.747	0.279	0.985	0.514	0.514	0.390	0.645	0.000	0.060	0.000	0.121	0.174
city_North Coast	0.025	0.263	0.199	0.000	0.464	0.167	0.147	0.000	0.179	0.315	0.205	0.182	0.031	0.155	0.326	0.427	0.199	0.275	0.073	0.183	0.400	0.425	0.356	0.256	0.254	0.371	0.410	0.281	1.000	0.140	0.522	0.668	0.254	0.322	0.057	0.205	0.148	0.057	0.175	0.516	0.269	0.248	0.402	0.476	0.478	0.521	0.917	0.429	0.429	0.545	0.301	0.090	0.254	0.268	0.363	0.456
city_Old Cairo	0.096	0.006	0.000	0.058	0.297	0.015	0.041	0.118	0.040	0.000	0.000	0.008	0.085	0.000	0.033	0.046	0.056	0.000	0.000	0.043	0.025	0.000	0.000	0.000	0.000	0.033	0.042	0.000	0.140	1.000	0.062	0.214	0.000	0.114	0.187	0.131	0.123	0.070	0.289	0.211	0.028	0.000	0.168	0.524	0.341	0.214	0.985	0.046	0.046	0.069	0.009	0.000	0.000	0.000	0.152	0.077
governorate_Alexandria	0.331	0.141	0.082	0.233	0.225	0.427	0.000	0.179	0.186	0.162	0.154	0.123	0.208	0.073	0.191	0.221	0.247	0.143	0.073	0.150	0.284	0.206	0.190	0.129	0.127	0.191	0.211	0.142	0.522	0.062	1.000	0.348	0.127	0.428	0.386	0.000	0.033	0.288	0.409	0.342	0.180	0.146	0.044	0.490	0.271	0.436	0.957	0.222	0.222	0.286	0.153	0.042	0.127	0.135	0.325	0.324
governorate_Cairo	0.232	0.191	0.216	0.268	0.509	0.051	0.041	0.266	0.082	0.377	0.174	0.088	0.128	0.014	0.163	0.392	0.035	0.075	0.103	0.042	0.220	0.429	0.261	0.386	0.170	0.252	0.613	0.423	0.668	0.214	0.348	1.000	0.170	0.559	0.000	0.015	0.134	0.000	0.000	0.316	0.438	0.087	0.474	0.321	0.487	0.467	0.985	0.471	0.471	0.314	0.451	0.015	0.112	0.157	0.255	0.438
governorate_Dakahlia	0.031	0.000	0.070	0.074	0.120	0.069	0.041	0.193	0.000	0.326	0.218	0.065	0.011	0.040	0.000	0.103	0.117	0.647	0.286	0.239	0.000	0.120	0.072	0.051	0.991	0.087	0.098	0.060	0.254	0.000	0.127	0.170	1.000	0.211	0.335	0.240	0.225	0.139	0.124	0.376	0.081	0.062	0.217	0.237	0.430	0.710	0.985	0.104	0.104	0.464	0.066	0.344	0.795	0.055	0.805	0.648
governorate_Matrouh	0.524	0.323	0.168	0.496	0.223	0.252	0.097	0.305	0.059	0.316	0.153	0.042	0.000	0.049	0.000	0.121	0.318	0.112	0.000	0.048	0.186	0.207	0.424	0.213	0.211	0.453	0.342	0.234	0.322	0.114	0.428	0.559	0.211	1.000	0.152	0.062	0.045	0.345	0.242	0.200	0.209	0.064	0.511	0.367	0.440	0.400	0.966	0.196	0.196	0.290	0.251	0.068	0.166	0.000	0.400	0.602
has_building_facilities	0.175	0.139	0.236	0.170	0.018	0.232	0.000	0.080	0.019	0.212	0.143	0.083	0.000	0.131	0.116	0.010	0.000	0.173	0.067	0.000	0.203	0.295	0.203	0.197	0.335	0.138	0.094	0.203	0.057	0.187	0.386	0.000	0.335	0.152	1.000	0.304	0.286	0.051	0.259	0.349	0.000	0.071	0.128	0.344	0.347	0.351	0.834	0.000	0.000	0.181	0.165	0.110	0.280	0.206	0.382	0.565
has_facilities	0.154	0.226	0.148	0.256	0.073	0.128	0.189	0.054	0.094	0.342	0.082	0.042	0.189	0.000	0.253	0.100	0.326	0.260	0.039	0.000	0.289	0.249	0.357	0.126	0.240	0.181	0.135	0.160	0.205	0.131	0.000	0.015	0.240	0.062	0.304	1.000	0.157	0.231	0.317	0.215	0.088	0.232	0.140	0.343	0.340	0.356	0.800	0.000	0.000	0.159	0.145	0.064	0.187	0.109	0.343	0.136
has_green_view	0.105	0.193	0.163	0.368	0.058	0.216	0.021	0.192	0.043	0.323	0.238	0.202	0.075	0.158	0.000	0.087	0.038	0.060	0.148	0.009	0.176	0.240	0.309	0.241	0.225	0.202	0.174	0.143	0.148	0.123	0.033	0.134	0.225	0.045	0.286	0.157	1.000	0.116	0.358	0.183	0.011	0.000	0.331	0.362	0.372	0.263	0.847	0.032	0.032	0.167	0.032	0.034	0.181	0.000	0.251	0.241
has_main_facilities	0.198	0.238	0.095	0.124	0.088	0.172	0.029	0.033	0.067	0.337	0.351	0.307	0.048	0.328	0.105	0.343	0.229	0.000	0.065	0.093	0.230	0.458	0.456	0.292	0.139	0.036	0.229	0.000	0.057	0.070	0.288	0.000	0.139	0.345	0.051	0.231	0.116	1.000	0.198	0.382	0.212	0.168	0.330	0.344	0.573	0.365	0.807	0.096	0.096	0.000	0.000	0.000	0.139	0.140	0.191	0.219
has_modern	0.258	0.136	0.065	0.158	0.000	0.542	0.078	0.251	0.000	0.139	0.125	0.118	0.118	0.069	0.120	0.163	0.144	0.119	0.000	0.073	0.192	0.209	0.194	0.055	0.124	0.120	0.098	0.000	0.175	0.289	0.409	0.000	0.124	0.242	0.259	0.317	0.358	0.198	1.000	0.212	0.175	0.142	0.314	0.482	0.227	0.437	0.714	0.111	0.111	0.151	0.148	0.040	0.053	0.000	0.375	0.183
has_other_features	0.118	0.000	0.282	0.000	0.088	0.156	0.000	0.104	0.087	0.365	0.120	0.129	0.182	0.141	0.113	0.000	0.036	0.213	0.056	0.000	0.170	0.345	0.245	0.175	0.376	0.036	0.259	0.243	0.516	0.211	0.342	0.316	0.376	0.200	0.349	0.215	0.183	0.382	0.212	1.000	0.130	0.109	0.291	0.266	0.468	0.374	0.882	0.000	0.000	0.245	0.206	0.109	0.320	0.183	0.353	0.500
has_parking_safety	0.042	0.098	0.444	0.110	0.252	0.091	0.018	0.128	0.000	0.143	0.259	0.219	0.000	0.165	0.050	0.309	0.058	0.051	0.034	0.066	0.105	0.523	0.088	0.499	0.081	0.127	0.253	0.000	0.269	0.028	0.180	0.438	0.081	0.209	0.000	0.088	0.011	0.212	0.175	0.130	1.000	0.358	0.266	0.177	0.540	0.547	0.880	0.307	0.307	0.198	0.094	0.000	0.081	0.301	0.374	0.220
has_security_features	0.315	0.077	0.514	0.131	0.075	0.082	0.000	0.080	0.069	0.000	0.449	0.337	0.064	0.295	0.333	0.241	0.082	0.152	0.156	0.000	0.481	0.365	0.068	0.063	0.062	0.297	0.258	0.071	0.248	0.000	0.146	0.087	0.062	0.064	0.071	0.232	0.000	0.168	0.142	0.109	0.358	1.000	0.055	0.468	0.452	0.413	0.949	0.120	0.120	0.158	0.078	0.000	0.062	0.067	0.527	0.178
has_water_feature	0.264	0.132	0.183	0.328	0.267	0.251	0.051	0.234	0.112	0.299	0.105	0.020	0.044	0.053	0.029	0.155	0.232	0.118	0.073	0.045	0.150	0.232	0.355	0.219	0.217	0.217	0.351	0.240	0.402	0.168	0.044	0.474	0.217	0.511	0.128	0.140	0.331	0.330	0.314	0.291	0.266	0.055	1.000	0.306	0.401	0.500	0.800	0.368	0.368	0.441	0.257	0.071	0.172	0.229	0.457	0.426
log(price)	0.443	0.412	0.125	0.493	0.577	0.435	0.299	0.363	0.225	-0.114	-0.039	0.318	0.171	0.273	0.919	0.736	0.274	0.406	0.201	0.210	1.000	0.675	0.120	0.256	0.237	0.478	0.184	0.575	0.476	0.524	0.490	0.321	0.237	0.367	0.344	0.343	0.362	0.344	0.482	0.266	0.177	0.468	0.306	1.000	0.675	0.510	0.600	0.579	0.579	0.557	0.514	0.212	0.227	0.434	0.510	0.364
log(price/sqm)	0.364	0.268	0.289	0.416	0.771	0.226	0.318	0.299	0.360	-0.025	0.156	0.550	0.282	0.518	0.762	0.963	0.405	0.383	0.243	0.287	0.675	1.000	0.207	0.623	0.430	0.487	0.401	0.747	0.478	0.341	0.271	0.487	0.430	0.440	0.347	0.340	0.372	0.573	0.227	0.468	0.540	0.452	0.401	0.675	1.000	-0.170	0.617	0.837	0.837	0.701	0.755	0.108	0.341	0.811	-0.170	0.410
log(sqm)	0.288	0.131	0.202	0.301	0.473	0.700	0.537	0.485	0.392	-0.122	-0.138	0.328	0.147	0.336	0.289	0.473	0.237	0.791	0.178	0.267	0.510	-0.170	0.029	0.631	0.710	0.313	0.230	0.279	0.521	0.214	0.436	0.467	0.710	0.400	0.351	0.356	0.263	0.365	0.437	0.374	0.547	0.413	0.500	0.510	-0.170	1.000	0.521	0.473	0.473	0.500	0.249	0.636	0.624	0.520	1.000	0.359
name	0.806	0.631	0.802	0.861	0.941	0.564	0.437	0.615	0.408	0.407	0.346	0.620	0.663	0.629	0.818	0.949	0.782	0.735	0.421	0.424	0.596	0.531	0.382	0.985	0.985	0.821	0.985	0.985	0.917	0.985	0.957	0.985	0.985	0.966	0.834	0.800	0.847	0.807	0.714	0.882	0.880	0.949	0.800	0.600	0.617	0.521	1.000	0.977	0.977	0.967	0.911	0.329	0.868	0.875	0.450	0.860
propertyCategory_Commercial	0.303	0.124	0.096	0.204	0.874	0.131	0.165	0.370	0.171	0.117	0.211	0.150	0.156	0.112	0.385	0.703	0.206	0.095	0.068	0.161	0.539	0.790	0.154	0.600	0.104	0.060	0.159	0.514	0.429	0.046	0.222	0.471	0.104	0.196	0.000	0.000	0.032	0.096	0.111	0.000	0.307	0.120	0.368	0.579	0.837	0.473	0.977	1.000	0.996	0.779	0.702	0.000	0.104	0.627	0.276	0.383
propertyCategory_Residential	0.303	0.124	0.096	0.204	0.874	0.131	0.165	0.370	0.171	0.117	0.211	0.150	0.156	0.112	0.385	0.703	0.206	0.095	0.068	0.161	0.539	0.790	0.154	0.600	0.104	0.060	0.159	0.514	0.429	0.046	0.222	0.471	0.104	0.196	0.000	0.000	0.032	0.096	0.111	0.000	0.307	0.120	0.368	0.579	0.837	0.473	0.977	0.996	1.000	0.779	0.702	0.000	0.104	0.627	0.276	0.383
propertySubType_Apartment (Residential - Multi-Story Units)	0.279	0.135	0.030	0.202	0.663	0.117	0.188	0.197	0.164	0.211	0.265	0.069	0.115	0.048	0.331	0.533	0.259	0.272	0.265	0.310	0.494	0.604	0.206	0.468	0.464	0.000	0.170	0.390	0.545	0.069	0.286	0.314	0.464	0.290	0.181	0.159	0.167	0.000	0.151	0.245	0.198	0.158	0.441	0.557	0.701	0.500	0.967	0.779	0.779	1.000	0.548	0.209	0.464	0.489	0.412	0.419
propertySubType_Office	0.207	0.081	0.059	0.135	0.611	0.086	0.106	0.259	0.116	0.066	0.281	0.195	0.118	0.104	0.416	0.558	0.141	0.076	0.117	0.000	0.482	0.694	0.096	0.356	0.066	0.107	0.119	0.645	0.301	0.009	0.153	0.451	0.066	0.251	0.165	0.145	0.032	0.000	0.148	0.206	0.094	0.078	0.257	0.514	0.755	0.249	0.911	0.702	0.702	0.548	1.000	0.000	0.066	0.071	0.157	0.298
propertySubType_Others(very rare)	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.054	0.000	0.000	0.000	0.052	0.000	0.065	0.000	0.000	0.307	0.087	0.063	0.159	0.000	0.000	0.000	0.344	0.007	0.022	0.000	0.090	0.000	0.042	0.015	0.344	0.068	0.110	0.064	0.034	0.000	0.040	0.109	0.000	0.000	0.071	0.212	0.108	0.636	0.329	0.000	0.000	0.209	0.000	1.000	0.000	0.000	0.762	0.129
propertySubType_Residential - Attached Houses	0.015	0.000	0.021	0.035	0.120	0.000	0.070	0.202	0.055	0.326	0.218	0.065	0.000	0.040	0.023	0.091	0.117	0.468	0.286	0.239	0.000	0.049	0.072	0.051	0.795	0.000	0.000	0.060	0.254	0.000	0.127	0.112	0.795	0.166	0.280	0.187	0.181	0.139	0.053	0.320	0.081	0.062	0.172	0.227	0.341	0.624	0.868	0.104	0.104	0.464	0.066	0.000	1.000	0.055	0.691	0.563
propertySubType_Retail	0.191	0.069	0.049	0.128	0.554	0.074	0.103	0.230	0.102	0.058	0.273	0.000	0.078	0.022	0.085	0.365	0.125	0.026	0.250	0.252	0.480	0.704	0.079	0.425	0.055	0.227	0.080	0.000	0.268	0.000	0.135	0.157	0.055	0.000	0.206	0.109	0.000	0.140	0.000	0.183	0.301	0.067	0.229	0.434	0.811	0.520	0.875	0.627	0.627	0.489	0.071	0.000	0.055	1.000	0.240	0.213
sqm	0.375	0.243	0.319	0.388	0.290	0.620	0.429	0.408	0.472	-0.122	-0.138	0.317	0.170	0.243	0.333	0.323	0.216	0.856	0.218	0.229	0.510	-0.170	0.029	0.423	0.805	0.361	0.191	0.121	0.363	0.152	0.325	0.255	0.805	0.400	0.382	0.343	0.251	0.191	0.375	0.353	0.374	0.527	0.457	0.510	-0.170	1.000	0.450	0.276	0.276	0.412	0.157	0.762	0.691	0.240	1.000	0.403
year_built	0.205	0.263	0.116	0.353	0.382	0.194	0.146	0.382	0.112	0.109	0.132	0.128	0.078	0.091	0.172	0.264	0.290	0.488	0.185	0.158	0.218	0.176	0.253	0.511	0.648	0.163	0.258	0.174	0.456	0.077	0.324	0.438	0.648	0.602	0.565	0.136	0.241	0.219	0.183	0.500	0.220	0.178	0.426	0.364	0.410	0.359	0.860	0.383	0.383	0.419	0.298	0.129	0.563	0.213	0.403	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	name	sqm	year_built	Price(EGP)	Price/Sqm	has_main_facilities	has_security_features	has_parking_safety	has_building_facilities	has_other_features	HighFloor	LowFloor	MidFloor	FloorNumber	BuildingNumber	UnitNumber	has_modern	has_facilities	has_green_view	has_water_feature	Bedroom_0	Bedroom_1	Bedroom_2	Bedroom_3	Bathroom_0	Bathroom_above 2	city_Cairo	city_Mersa Matruh	city_North Coast	governorate_Alexandria	governorate_Cairo	governorate_Matrouh	propertyCategory_Commercial	propertyCategory_Residential	propertySubType_Apartment (Residential - Multi-Story Units)	propertySubType_Office	propertySubType_Retail	Is sqm outlier	Is Price/Sqm outlier	Is Price(EGP) outlier	Is BuildingNumber outlier	Is FloorNumber outlier	Is UnitNumber outlier	log(sqm)	log(price)	log(price/sqm)
0	Alamain (Latin District)	92.86	2025	6594000	71010.1228	1	1	0	0	1	0	0	1	6	4	2	1	1	0	0	0	1	0	0	1	0	0	0	1	1	0	0	0	1	1	0	0	False	False	False	False	False	False	4.531093	15.701671	11.170578
1	Beachfront Tower - B1	398.00	2025	66104000	166090.4523	0	0	0	0	1	1	0	0	9	1	1091	0	1	1	1	0	0	0	1	0	1	0	1	0	0	0	1	0	1	1	0	0	True	True	True	False	False	False	5.986452	18.006740	12.020288
2	PODIA	93.00	2025	12824000	137892.4731	0	1	1	0	1	1	0	0	13	7	1304	0	0	1	0	1	0	0	0	1	0	1	0	0	0	1	0	1	0	0	1	0	False	True	False	False	True	False	4.532599	16.366829	11.834229
3	Mazarine Apartment	252.00	2025	12857000	51019.8413	1	1	0	0	0	0	0	1	3	15	1531	0	1	1	1	0	0	0	1	0	1	0	1	0	0	0	1	0	1	1	0	0	False	False	False	False	False	False	5.529429	16.369399	10.839970
4	Alamain (Latin District)	209.42	2025	8721000	41643.5870	1	1	0	0	1	0	1	0	1	1	2	0	0	1	1	0	0	0	1	1	0	0	0	1	1	0	0	0	1	1	0	0	False	False	False	False	False	False	5.344342	15.981244	10.636903
5	Latin City	139.00	2025	6688000	48115.1079	0	1	0	0	1	0	1	0	1	3	302107	0	0	0	1	0	0	1	0	1	0	0	0	1	0	0	1	0	1	1	0	0	False	False	False	False	False	True	4.934474	15.715825	10.781352
6	Downtown commercial	272.00	2025	32696000	120205.8824	1	1	0	0	1	0	1	0	0	8	815	0	0	0	0	1	0	0	0	1	0	0	1	0	0	0	1	1	0	0	0	1	False	True	True	False	False	False	5.605802	17.302763	11.696961
7	Beachfront Tower - B1	221.00	2025	28507000	128990.9502	0	0	0	0	1	1	0	0	16	1	1172	0	1	1	1	1	0	0	0	1	0	0	1	0	0	0	1	0	1	1	0	0	False	True	True	False	True	False	5.398163	17.165660	11.767498
8	Downtown commercial	319.00	2025	36428000	114194.3574	1	1	0	0	1	0	1	0	0	8	813	0	0	0	0	1	0	0	0	1	0	0	1	0	0	0	1	1	0	0	0	1	False	True	True	False	False	False	5.765191	17.410848	11.645657
9	Downtown Extension	173.00	2022	8368000	48369.9422	1	1	0	1	1	0	0	1	3	11	11	0	0	0	0	0	0	1	0	0	1	0	0	1	0	0	1	0	1	1	0	0	False	False	False	False	False	False	5.153292	15.939925	10.786634

	name	sqm	year_built	Price(EGP)	Price/Sqm	has_main_facilities	has_security_features	has_parking_safety	has_building_facilities	has_other_features	LowFloor	MidFloor	FloorNumber	BuildingNumber	UnitNumber	has_modern	has_facilities	has_green_view	has_water_feature	Bedroom_0	Bedroom_2	Bedroom_3	Bedroom_above 3	Bathroom_0	Bathroom_1	Bathroom_2	Bathroom_above 2	city_Cairo	city_Mansoura	city_Mersa Matruh	city_New Administrative Capital	city_North Coast	governorate_Alexandria	governorate_Cairo	governorate_Dakahlia	governorate_Matrouh	propertyCategory_Commercial	propertyCategory_Residential	propertySubType_Apartment (Residential - Multi-Story Units)	propertySubType_Others(very rare)	propertySubType_Residential - Attached Houses	propertySubType_Retail	Is sqm outlier	Is Price/Sqm outlier	Is Price(EGP) outlier	Is BuildingNumber outlier	Is FloorNumber outlier	Is UnitNumber outlier	log(sqm)	log(price)	log(price/sqm)
919	Mazarine Commercial	217.00	2025	24308000	112018.4332	1	1	0	0	1	1	0	1	4	411	1	1	0	0	1	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	1	0	0	0	0	1	False	False	True	False	False	False	5.379897	17.006316	11.626419
920	Zahya	392.00	2024	9330000	23801.0204	1	1	0	1	0	1	0	0	3	3	0	1	0	0	0	0	1	0	1	0	0	0	0	1	0	0	0	0	0	1	0	0	1	0	0	1	0	True	False	False	False	False	False	5.971262	16.048746	10.077484
921	AlMaqsad Residences	134.00	2025	4572000	34119.4030	1	1	0	0	1	0	1	7	81	8173	1	0	1	0	0	0	1	0	0	0	0	1	0	0	0	1	0	0	1	0	0	0	1	1	0	0	0	False	False	False	True	False	True	4.897840	15.335461	10.437622
922	T- Residences	130.00	2024	2668259	20525.0692	1	1	0	0	0	0	1	6	4	62	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	1	0	0	0	1	0	1	1	0	0	0	False	False	False	False	False	False	4.867534	14.796937	9.929402
923	Alamain (Latin District)	125.91	2025	6792000	53943.2928	1	1	0	0	1	0	1	3	7	3	1	1	0	0	0	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	1	1	0	0	0	False	False	False	False	False	False	4.835567	15.731256	10.895689
924	Alamain (Latin District)	177.47	2025	5678000	31994.1399	1	1	0	0	1	1	0	0	4	5	0	0	1	1	0	0	1	0	1	0	0	0	0	0	0	0	1	1	0	0	0	0	1	1	0	0	0	False	False	False	False	False	False	5.178802	15.552110	10.373308
925	Jade Park	692.00	2025	25292000	36549.1329	1	0	1	1	0	0	1	6	1	1	0	1	0	0	0	0	0	1	0	0	1	0	0	0	0	1	0	0	1	0	0	0	1	1	0	0	0	True	False	True	False	False	False	6.539586	17.045999	10.506413
926	Mamsha Avenue	171.00	2025	6137000	35888.8889	1	1	0	0	1	0	1	4	15	15	0	1	1	0	0	0	1	0	1	0	0	0	0	0	0	1	0	0	1	0	0	0	1	1	0	0	0	False	False	False	False	False	False	5.141664	15.629847	10.488183
927	Alamain (Latin District)	207.58	2025	5933000	28581.7516	1	1	0	0	1	0	1	4	6	5	1	1	0	0	0	0	1	0	1	0	0	0	0	0	0	0	1	1	0	0	0	0	1	1	0	0	0	False	False	False	False	False	False	5.335517	15.596041	10.260524
928	PODIA	42.00	2025	5446000	129666.6667	0	1	1	0	1	0	1	4	7	416	0	0	1	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	1	0	0	1	0	0	1	0	0	False	True	False	False	False	False	3.737670	15.510392	11.772722

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values